Glossary

Decision Policy

A strategy or set of rules that determines how an AI agent selects actions or makes decisions based on goals, inputs, constraints, and current state.

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Related terms

Action Selection

The process of choosing the most appropriate action from available options based on goals, policies, context, constraints, or expected outcomes.

Utility Function

A mathematical function that assigns a numerical value to outcomes to represent preferences and guide optimal decision-making.

Confidence Scoring

The process of estimating how certain an AI system is about a prediction, decision, or generated response using a confidence value.

Risk-aware Decision

A choice made by evaluating potential outcomes alongside their associated uncertainties, hazards, and probabilities.

Preference Modeling

A method for representing and estimating preferences between possible actions or outcomes to guide an AI system's decision-making.

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